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Socially aware networking is an emerging research field that aims to improve the current networking technologies and realize novel network services by applying social network analysis (SNA) techniques. Conducting socially aware networking studies requires knowledge of both SNA and communication networking, but it is not easy for communication networking researchers who are unfamiliar with SNA to obtain comprehensive knowledge of SNA due to its interdisciplinary nature. This paper therefore aims to fill the knowledge gap for networking researchers who are interested in socially aware networking but are not familiar with SNA. This paper surveys three types of important SNA techniques for socially aware networking: identification of influential nodes, link prediction, and community detection. Then, this paper introduces how SNA techniques are used in socially aware networking and discusses research trends in socially aware networking.
Sho TSUGAWA
University of Tsukuba
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Sho TSUGAWA, "A Survey of Social Network Analysis Techniques and their Applications to Socially Aware Networking" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 1, pp. 17-39, January 2019, doi: 10.1587/transcom.2017EBI0003.
Abstract: Socially aware networking is an emerging research field that aims to improve the current networking technologies and realize novel network services by applying social network analysis (SNA) techniques. Conducting socially aware networking studies requires knowledge of both SNA and communication networking, but it is not easy for communication networking researchers who are unfamiliar with SNA to obtain comprehensive knowledge of SNA due to its interdisciplinary nature. This paper therefore aims to fill the knowledge gap for networking researchers who are interested in socially aware networking but are not familiar with SNA. This paper surveys three types of important SNA techniques for socially aware networking: identification of influential nodes, link prediction, and community detection. Then, this paper introduces how SNA techniques are used in socially aware networking and discusses research trends in socially aware networking.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBI0003/_p
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@ARTICLE{e102-b_1_17,
author={Sho TSUGAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Survey of Social Network Analysis Techniques and their Applications to Socially Aware Networking},
year={2019},
volume={E102-B},
number={1},
pages={17-39},
abstract={Socially aware networking is an emerging research field that aims to improve the current networking technologies and realize novel network services by applying social network analysis (SNA) techniques. Conducting socially aware networking studies requires knowledge of both SNA and communication networking, but it is not easy for communication networking researchers who are unfamiliar with SNA to obtain comprehensive knowledge of SNA due to its interdisciplinary nature. This paper therefore aims to fill the knowledge gap for networking researchers who are interested in socially aware networking but are not familiar with SNA. This paper surveys three types of important SNA techniques for socially aware networking: identification of influential nodes, link prediction, and community detection. Then, this paper introduces how SNA techniques are used in socially aware networking and discusses research trends in socially aware networking.},
keywords={},
doi={10.1587/transcom.2017EBI0003},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - A Survey of Social Network Analysis Techniques and their Applications to Socially Aware Networking
T2 - IEICE TRANSACTIONS on Communications
SP - 17
EP - 39
AU - Sho TSUGAWA
PY - 2019
DO - 10.1587/transcom.2017EBI0003
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2019
AB - Socially aware networking is an emerging research field that aims to improve the current networking technologies and realize novel network services by applying social network analysis (SNA) techniques. Conducting socially aware networking studies requires knowledge of both SNA and communication networking, but it is not easy for communication networking researchers who are unfamiliar with SNA to obtain comprehensive knowledge of SNA due to its interdisciplinary nature. This paper therefore aims to fill the knowledge gap for networking researchers who are interested in socially aware networking but are not familiar with SNA. This paper surveys three types of important SNA techniques for socially aware networking: identification of influential nodes, link prediction, and community detection. Then, this paper introduces how SNA techniques are used in socially aware networking and discusses research trends in socially aware networking.
ER -